Performance Aspect of the In-Memory Databases Accessed via JDBC

被引：1

作者：

Kostrzewa, Daniel ^{[1
]}

Bach, Malgorzata ^{[1
]}

Brzeski, Robert ^{[1
]}

Werner, Aleksandra ^{[1
]}

机构：

[1] Silesian Tech Univ, Inst Informat, Gliwice, Poland

来源：

BEYOND DATABASES, ARCHITECTURES AND STRUCTURES, BDAS 2016 | 2016年 / 613卷

关键词：

Altibase; Benchmark; H2; HyperSQL; In-memory databases; MariaDB; MySQL memory; TPC-H;

D O I：

10.1007/978-3-319-34099-9_18

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The conception of storing and managing data directly in RAM appeared some time ago but in spite of very good efficiency, it was impossible to massive implementation because of hardware limitations. Currently, it is possible to store whole databases in memory as well as there are some mechanisms to organize pieces of data as in-memory databases. It has been the interesting issue how this type of databases behaves when accessing via JDBC. Hence we decided to test their performance in terms/sense of the time of SQL query execution. For this purpose TPC Benchmark (TM) H (TPC-H) was applied. In our research we focused on the open source systems such as Altibase, H2, HyperSQL, MariaDB, MySQL Memory.

引用

页码：236 / 252

页数：17

共 50 条

[31] Experiments or Simulation? A Characterization of Evaluation Methods for In-Memory Databases
Molka, Karsten
Casale, Giuliano
2015 11TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM), 2015, : 201 - 209
[32] Efficient Reboot-Based Recovery of In-Memory Databases
Jumonji, Yuto
Yamada, Hiroshi
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2021, E104D (12) : 2164 - 2172
[33] Non-Invasive Progressive Optimization for In-Memory Databases
Zeuch, Steffen
Pirk, Holger
Freytag, Johann-Christoph
PROCEEDINGS OF THE VLDB ENDOWMENT, 2016, 9 (14): : 1659 - 1670
[34] Concurrent Execution of Mixed Enterprise Workloads on In-Memory Databases
Wust, Johannes
Grund, Martin
Hoewelmeyer, Kai
Schwalb, David
Plattner, Hasso
DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, DASFAA 2014, PT I, 2014, 8421 : 126 - 140
[35] Experimental Study on Concurrency Control Algorithms in In-Memory Databases
Zhao H.-Y.
Zhao Z.-H.
Yang W.-Q.
Lu W.
Li H.-X.
Du X.-Y.
Ruan Jian Xue Bao/Journal of Software, 2022, 33 (03): : 867 - 890
[36] In-Memory Performance for Big Data
Graefe, Goetz
Volos, Haris
Kimura, Hideaki
Kuno, Harumi
Tucek, Joseph
Lillibridge, Mark
Veitch, Alistair
PROCEEDINGS OF THE VLDB ENDOWMENT, 2014, 8 (01): : 37 - 48
[37] Improving Java']JavaScript Performance via Efficient In-memory Bytecode Caching
Heo, Jun
Woo, Seungjin
Jang, Hakbeom
Yang, Kyungyeon
Lee, Jae W.
2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-ASIA (ICCE-ASIA), 2016,
[38] Separated Allocator Metadata in Disaggregated In-Memory Databases: Friend or Foe?
Weisgut, Marcel
Ritter, Daniel
Boissier, Martin
Perscheid, Michael
2022 IEEE 36TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2022), 2022, : 1202 - 1208
[39] Generating Application-Specific Data Layouts for In-memory Databases
Yan, Cong
Cheung, Alvin
PROCEEDINGS OF THE VLDB ENDOWMENT, 2019, 12 (11): : 1513 - 1525
[40] To Copy or Not to Copy: Making In-Memory Databases Fast on Modern NICs
Kesavan, Aniraj
Ricci, Robert
Stutsman, Ryan
DATA MANAGEMENT ON NEW HARDWARE, 2017, 10195 : 79 - 94

← 1 2 3 4 5 →